Most Cited 2025 "hardware robotic control" Papers
22,274 papers found • Page 56 of 112
Conference
Unsupervised Meta-Learning via In-Context Learning
Anna Vettoruzzo, Lorenzo Braccaioli, Joaquin Vanschoren et al.
Probabilistic Geometric Principal Component Analysis with application to neural data
Han-Lin Hsieh, Maryam Shanechi
ALADE-SNN: Adaptive Logit Alignment in Dynamically Expandable Spiking Neural Networks for Class Incremental Learning
Wenyao Ni, Jiangrong Shen, Qi Xu et al.
Conditional Testing based on Localized Conformal $p$-values
Xiaoyang Wu, Lin Lu, Zhaojun Wang et al.
LaMAGIC2: Advanced Circuit Formulations for Language Model-Based Analog Topology Generation
Chen-Chia Chang, Wan-Hsuan Lin, Yikang Shen et al.
MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced with Reliable Evaluations
Shaochen Zhong, Yifan (Louie) Lu, Lize Shao et al.
MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection
Zhuoxiao Chen, Junjie Meng, Mahsa Baktashmotlagh et al.
InpDiffusion: Image Inpainting Localization via Conditional Diffusion Models
Kai Wang, Shaozhang Niu, Qixian Hao et al.
Large Language Models Are Read/Write Policy-Makers for Simultaneous Generation
Shoutao Guo, Shaolei Zhang, Zhengrui Ma et al.
LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning
Zhekai Du, Yinjie Min, Jingjing Li et al.
Semi-supervised Infrared Small Target Detection with Thermodynamic-Inspired Uneven Perturbation and Confidence Adaptation
Mingjin Zhang, Wenteng Shang, Fei Gao et al.
Optimization Proxies using Limited Labeled Data and Training Time -- A Semi-Supervised Bayesian Neural Network Approach
Parikshit Pareek, Abhijith Jayakumar, Kaarthik Sundar et al.
Homomorphism Expressivity of Spectral Invariant Graph Neural Networks
Jingchu Gai, Yiheng Du, Bohang Zhang et al.
Optimizing Social Network Interventions via Hypergradient-Based Recommender System Design
Marino Kühne, Panagiotis D. Grontas, Giulia De Pasquale et al.
Diffusion Counterfactual Generation with Semantic Abduction
Rajat Rasal, Avinash Kori, Fabio De Sousa Ribeiro et al.
Improved Sampling Of Diffusion Models In Fluid Dynamics With Tweedie's Formula
Youssef Shehata, Benjamin Holzschuh, Nils Thuerey
Rule-Guided Graph Neural Networks for Explainable Knowledge Graph Reasoning
Zhe Wang, Suxue Ma, Kewen Wang et al.
Determinant Estimation under Memory Constraints and Neural Scaling Laws
Siavash Ameli, Chris van der Heide, Liam Hodgkinson et al.
nach0-pc: Multi-task Language Model with Molecular Point Cloud Encoder
Maksim Kuznetsov, Airat Valiev, Alex Aliper et al.
Enhancing Graph Of Thought: Enhancing Prompts with LLM Rationales and Dynamic Temperature Control
Sunguk Shin, Youngjoon Kim
HaHeAE: Learning Generalisable Joint Representations of Human Hand and Head Movements in Extended Reality
Zhiming Hu, Guanhua Zhang, Zheming Yin et al.
Sequence Accumulation and Beyond: Infinite Context Length on Single GPU and Large Clusters
Weigao Sun, Yongtuo Liu, Xiaqiang Tang et al.
SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting
Yitian Zhang, Liheng Ma, Antonios Valkanas et al.
Universal Approximation of Mean-Field Models via Transformers
Shiba Biswal, Karthik Elamvazhuthi, Rishi Sonthalia
A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery
Yingyu Lin, Yuxing Huang, Wenqin Liu et al.
ScreenMark: Watermarking Arbitrary Visual Content on Screen
Xiujian Liang, Gaozhi Liu, Yichao Si et al.
WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learning
Kai Jungel, Dario Paccagnan, Axel Parmentier et al.
Unpaired Multi-Domain Histopathology Virtual Staining Using Dual Path Prompted Inversion
Bing Xiong, Yue Peng, Ranran Zhang et al.
Do Not DeepFake Me: Privacy-Preserving Neural 3D Head Reconstruction Without Sensitive Images
Jiayi Kong, Xurui Song, Shuo Huai et al.
Exploring Temporal Event Cues for Dense Video Captioning in Cyclic Co-Learning
Zhuyang Xie, Yan Yang, Yankai Yu et al.
Reward-free World Models for Online Imitation Learning
Shangzhe Li, Zhiao Huang, Hao Su
Re-Aligning Language to Visual Objects with an Agentic Workflow
Yuming Chen, Jiangyan Feng, Haodong Zhang et al.
Neural Discovery in Mathematics: Do Machines Dream of Colored Planes?
Konrad Mundinger, Max Zimmer, Aldo Kiem et al.
Unconstrained Robust Online Convex Optimization
Jiujia Zhang, Ashok Cutkosky
Promoting Ensemble Diversity with Interactive Bayesian Distributional Robustness for Fine-tuning Foundation Models
Ngoc Quan Pham, Tuan Truong, Quyen Tran et al.
MuHBoost: Multi-Label Boosting For Practical Longitudinal Human Behavior Modeling
Nguyen Thach, Patrick Habecker, Anika Eisenbraun et al.
Calibrated Language Models and How to Find Them with Label Smoothing
Jerry Huang, Peng Lu, QIUHAO Zeng
GSBA$^K$: $top$-$K$ Geometric Score-based Black-box Attack
Md Farhamdur Reza, Richeng Jin, Tianfu Wu et al.
Tracking objects that change in appearance with phase synchrony
Sabine Muzellec, Drew Linsley, Alekh Ashok et al.
Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector
Qirui Wu, Shizhou Zhang, De Cheng et al.
Holistic Semantic Representation for Navigational Trajectory Generation
Ji Cao, Tongya Zheng, Qinghong Guo et al.
Text-to-Decision Agent: Offline Meta-Reinforcement Learning from Natural Language Supervision
Shilin Zhang, Zican Hu, Wenhao Wu et al.
Predictive Uncertainty Quantification for Bird's Eye View Segmentation: A Benchmark and Novel Loss Function
Linlin Yu, Bowen Yang, Tianhao Wang et al.
Reinforcement Learning from Imperfect Corrective Actions and Proxy Rewards
Zhaohui JIANG, Xuening Feng, Paul Weng et al.
Expand VSR Benchmark for VLLM to Expertize in Spatial Rules
Peijin Xie, Lin Sun, Bingquan Liu et al.
Mind the Uncertainty in Human Disagreement: Evaluating Discrepancies Between Model Predictions and Human Responses in VQA
Jian Lan, Diego Frassinelli, Barbara Plank
4D Diffusion for Dynamic Protein Structure Prediction with Reference and Motion Guidance
Kaihui Cheng, Ce Liu, Qingkun Su et al.
Global Optimization with a Power-Transformed Objective and Gaussian Smoothing
Chen Xu
Continuous Concepts Removal in Text-to-image Diffusion Models
Tingxu Han, Weisong Sun, Yanrong Hu et al.
A Unified Framework for Human-Allied Learning of Probabilistic Circuits
Athresh Karanam, Saurabh Mathur, Sahil Sidheekh et al.
Progressive Multi-granular Alignments for Grounded Reasoning in Large Vision-Language Models
Quang-Hung Le, Long Hoang Dang, Ngan Hoang Le et al.
Hybrid Quantum-Classical Multi-Agent Pathfinding
Thore Gerlach, Loong Kuan Lee, Frederic BARBARESCO et al.
Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax
Ivan Butakov, Alexander Semenenko, Alexander Tolmachev et al.
RingFormer: A Ring-Enhanced Graph Transformer for Organic Solar Cell Property Prediction
Zhihao Ding, Ting Zhang, Yiran Li et al.
Machine Unlearning via Simulated Oracle Matching
Kristian G Georgiev, Roy Rinberg, Sam Park et al.
Lines of Thought in Large Language Models
Raphaël Sarfati, Toni Liu, Nicolas Boulle et al.
A Wander Through the Multimodal Landscape: Efficient Transfer Learning via Low-rank Sequence Multimodal Adapter
Zirun Guo, Xize Cheng, Yangyang Wu et al.
HOGSA: Bimanual Hand-Object Interaction Understanding with 3D Gaussian Splatting Based Data Augmentation
Wentian Qu, Jiahe Li, Jian Cheng et al.
Graph World Model
Tao Feng, Yexin Wu, Guanyu Lin et al.
Collaborative Semantic Consistency Alignment for Blended-Target Domain Adaptation
Yuwu Lu, Xue Hu, Waikeung Wong et al.
Bisimulation Metric for Model Predictive Control
Yutaka Shimizu, Masayoshi Tomizuka
Beyond Atoms: Enhancing Molecular Pretrained Representations with 3D Space Modeling
Shuqi Lu, Xiaohong Ji, Bohang Zhang et al.
Distribution-Free Data Uncertainty for Neural Network Regression
Domokos M. Kelen, Ádám Jung, Péter Kersch et al.
Novelty Detection in Reinforcement Learning with World Models
Geigh Zollicoffer, Kenneth Eaton, Jonathan Balloch et al.
Navigating Label Ambiguity for Facial Expression Recognition in the Wild
JunGyu Lee, Yeji Choi, Haksub Kim et al.
Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts
Zhuohua Li, Maoli Liu, Xiangxiang Dai et al.
Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation
Chen Xu, Yuxin Li, Wenjie Wang et al.
Action abstractions for amortized sampling
Oussama Boussif, Léna Ezzine, Joseph Viviano et al.
From Search to Sampling: Generative Models for Robust Algorithmic Recourse
Prateek Garg, Lokesh Nagalapatti, Sunita Sarawagi
econSG: Efficient and Multi-view Consistent Open-Vocabulary 3D Semantic Gaussians
Can Zhang, Gim H Lee
Accurate Identification of Communication Between Multiple Interacting Neural Populations
Belle Liu, Jacob I Sacks, Matthew Golub
Efficient Discovery of Pareto Front for Multi-Objective Reinforcement Learning
Ruohong Liu, Yuxin Pan, Linjie Xu et al.
Overcoming Multi-step Complexity in Multimodal Theory-of-Mind Reasoning: A Scalable Bayesian Planner
Chunhui Zhang, Zhongyu Ouyang, Kwonjoon Lee et al.
PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models
Kyeongkook Seo, Dong-Jun Han, Jaejun Yoo
Computing Optimal Transport Maps and Wasserstein Barycenters Using Conditional Normalizing Flows
Gabriele Visentin, Patrick Cheridito
VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting
Junhyeok Kang, Yooju Shin, Jae-Gil Lee
Bringing NeRFs to the Latent Space: Inverse Graphics Autoencoder
Antoine Schnepf, Karim Kassab, Jean-Yves Franceschi et al.
Forget the Data and Fine-Tuning! Just Fold the Network to Compress
Dong Wang, Haris Šikić, Lothar Thiele et al.
Hypothesis Testing for Generalized Thurstone Models
Anuran Makur, Japneet Singh
Political Actor Agent: Simulating Legislative System for Roll Call Votes Prediction with Large Language Models
Hao Li, Ruoyuan Gong, Hao Jiang
Learning Splitting Heuristics in Divide-and-Conquer SAT Solvers with Reinforcement Learning
Shumao Zhai, Ning Ge
Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo-Labeling
Haoran Li, Xingjian Li, Jiahua Shi et al.
Zero-Shot Adaptation of Parameter-Efficient Fine-Tuning in Diffusion Models
Farzad Farhadzadeh, Debasmit Das, Shubhankar Borse et al.
Dreamweaver: Learning Compositional World Models from Pixels
Junyeob Baek, Yi-Fu Wu, Gautam Singh et al.
Learning Dynamic Similarity by Bidirectional Hierarchical Sliding Semantic Probe for Efficient Text Video Retrieval
Yang Liu, Shudong Huang, Deng Xiong et al.
Spatial Annealing for Efficient Few-shot Neural Rendering
Yuru Xiao, Deming Zhai, Wenbo Zhao et al.
Enhancing Learning with Label Differential Privacy by Vector Approximation
Puning Zhao, Jiafei Wu, Zhe Liu et al.
Improving Generalization and Robustness in SNNs Through Signed Rate Encoding and Sparse Encoding Attacks
Bhaskar Mukhoty, Hilal AlQuabeh, Bin Gu
Improving Value Estimation Critically Enhances Vanilla Policy Gradient
Tao Wang, Ruipeng Zhang, Sicun Gao
PETRA: Parallel End-to-end Training with Reversible Architectures
Stéphane Rivaud, Louis Fournier, Thomas Pumir et al.
AdaDecode: Accelerating LLM Decoding with Adaptive Layer Parallelism
Zhepei Wei, Wei-Lin Chen, Xinyu Zhu et al.
JanusDNA: A Powerful Bi-directional Hybrid DNA Foundation Model
Qihao Duan, Bingding Huang, Zhenqiao Song et al.
Active Reinforcement Learning Strategies for Offline Policy Improvement
Ambedkar Dukkipati, Ranga Shaarad Ayyagari, Bodhisattwa Dasgupta et al.
In-depth Analysis of Low-rank Matrix Factorisation in a Federated Setting
Constantin Philippenko, Kevin Scaman, Laurent Massoulié
GRIFFIN: Effective Token Alignment for Faster Speculative Decoding
Shijing Hu, Jingyang Li, Xingyu Xie et al.
Towards Practical Defect-Focused Automated Code Review
Junyi Lu, Lili Jiang, Xiaojia Li et al.
CLOVER: Cross-Layer Orthogonal Vectors Pruning and Fine-Tuning
Fanxu Meng, Muhan Zhang
AutoG: Towards automatic graph construction from tabular data
Zhikai Chen, Han Xie, Jian Zhang et al.
Safe-Sora: Safe Text-to-Video Generation via Graphical Watermarking
Zihan Su, Xuerui Qiu, Hongbin Xu Xu et al.
Fleet of Agents: Coordinated Problem Solving with Large Language Models
Lars Klein, Nearchos Potamitis, Roland Aydin et al.
Chunk-Distilled Language Modeling
Yanhong Li, Karen Livescu, Jiawei Zhou
Scalable Meta-Learning via Mixed-Mode Differentiation
Iurii Kemaev, Dan Andrei Calian, Luisa Zintgraf et al.
Meme Trojan: Backdoor Attacks Against Hateful Meme Detection via Cross-Modal Triggers
Ruofei Wang, Hongzhan Lin, Ziyuan Luo et al.
GaitCycFormer: Leveraging Gait Cycles and Transformers for Gait Emotion Recognition.
Qingyang Zeng, Lin Shang
Disentangled Representation Learning with the Gromov-Monge Gap
Théo Uscidda, Luca Eyring, Karsten Roth et al.
Selective Unlearning via Representation Erasure Using Domain Adversarial Training
Nazanin Sepahvand, Eleni Triantafillou, Hugo Larochelle et al.
An Automatic Sound and Complete Abstraction Method for Generalized Planning with Baggable Types
Hao Dong, Zheyuan Shi, Hemeng Zeng et al.
Prompt-SID: Learning Structural Representation Prompt via Latent Diffusion for Single Image Denoising
Huaqiu Li, Wang Zhang, Xiaowan Hu et al.
Robust Reward Alignment via Hypothesis Space Batch Cutting
Zhixian Xie, Haode Zhang, Yizhe Feng et al.
RePIC: Reinforced Post-Training for Personalizing Multi-Modal Language Models
Yeongtak Oh, Dohyun Chung, Juhyeon Shin et al.
Exploring Query Efficient Data Generation Towards Data-Free Model Stealing in Hard Label Setting
Gaozheng Pei, Shaojie Lyu, Ke Ma et al.
Everywhere Attack: Attacking Locally and Globally to Boost Targeted Transferability
Hui Zeng, Sanshuai Cui, Biwei Chen et al.
Reconsidering Feature Structure Information and Latent Space Alignment in Partial Multi-label Feature Selection
Hanlin Pan, Kunpeng Liu, Wanfu Gao
A²RNet: Adversarial Attack Resilient Network for Robust Infrared and Visible Image Fusion
Jiawei Li, Hongwei Yu, Jiansheng Chen et al.
Infilling Score: A Pretraining Data Detection Algorithm for Large Language Models
Negin Raoof, Litu Rout, Giannis Daras et al.
Representative Guidance: Diffusion Model Sampling with Coherence
Anh-Dung Dinh, Daochang Liu, Chang Xu
FIG: Flow with Interpolant Guidance for Linear Inverse Problems
Yici Yan, Yichi Zhang, XIANGMING MENG et al.
Provably Efficient Exploration in Inverse Constrained Reinforcement Learning
Bo Yue, Jian Li, Guiliang Liu
Uni$^2$Det: Unified and Universal Framework for Prompt-Guided Multi-dataset 3D Detection
Yubin Wang, Zhikang Zou, Xiaoqing Ye et al.
HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting
Feng Shibo, Peilin Zhao, Liu Liu et al.
Implicit Riemannian Optimism with Applications to Min-Max Problems
Christophe Roux, David Martinez-Rubio, Sebastian Pokutta
In-Context Policy Adaptation via Cross-Domain Skill Diffusion
Minjong Yoo, Woo Kyung Kim, Honguk Woo
C-NAV: Towards Self-Evolving Continual Object Navigation in Open World
MingMing Yu, Fei Zhu, Wenzhuo Liu et al.
Understanding the Forgetting of (Replay-based) Continual Learning via Feature Learning: Angle Matters
Hongyi Wan, Shiyuan Ren, Wei Huang et al.
Leveraging Randomness in Model and Data Partitioning for Privacy Amplification
Andy Dong, Wei-Ning Chen, Ayfer Ozgur
PVTree: Realistic and Controllable Palm Vein Generation for Recognition Tasks
Sheng Shang, Chenglong Zhao, Ruixin Zhang et al.
Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors
Jingyang Ke, Feiyang Wu, Jiyi Wang et al.
Test-time Adaptation on Graphs via Adaptive Subgraph-based Selection and Regularized Prototypes
Ming Zhang, Qixin Zhang, Xiao Luo et al.
Hybrid-Driving: An Autonomous Driving Decision Framework Integrating Large Language Models, Knowledge Graphs and Driving Rules
Jiabao Wang, Zepeng Wu, Qian Dong et al.
HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting
Boyuan Li, Yicheng Luo, Zhen Liu et al.
ImDy: Human Inverse Dynamics from Imitated Observations
Xinpeng Liu, Junxuan Liang, Zili Lin et al.
Cross-Modal Stealth: A Coarse-to-Fine Attack Framework for RGB-T Tracker
Xinyu Xiang, Qinglong Yan, Hao Zhang et al.
Global Convergence in Neural ODEs: Impact of Activation Functions
Tianxiang Gao, Siyuan Sun, Hailiang Liu et al.
Stay-Positive: A Case for Ignoring Real Image Features in Fake Image Detection
Anirudh Sundara Rajan, Yong Jae Lee
Uncovering Latent Memories in Large Language Models
Sunny Duan, Mikail Khona, Abhiram Iyer et al.
PoisonedEye: Knowledge Poisoning Attack on Retrieval-Augmented Generation based Large Vision-Language Models
Chenyang Zhang, Xiaoyu Zhang, Jian Lou et al.
Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization
Lirong Wu, Haitao Lin, Yufei Huang et al.
DECO: Unleashing the Potential of ConvNets for Query-based Detection and Segmentation
Xinghao Chen, Siwei Li, Yijing Yang et al.
Training Free Exponential Context Extension via Cascading KV Cache
Jeff Willette, Heejun Lee, Youngwan Lee et al.
Human Body Restoration with One-Step Diffusion Model and A New Benchmark
Jue Gong, Jingkai Wang, Zheng Chen et al.
The Four Color Theorem for Cell Instance Segmentation
Ye Zhang, Yu Zhou, Yifeng Wang et al.
Unified Graph Neural Networks Pre-training for Multi-domain Graphs
Mingkai Lin, Xiaobin Hong, Wenzhong Li et al.
Dual-branch Graph Feature Learning for NLOS Imaging
Xiongfei Su, Tianyi Zhu, Lina Liu et al.
Unsupervised Photometric-Consistent Depth Estimation from Endoscopic Monocular Video
Shijie Li, Weijun Lin, Qingyuan Xiang et al.
Defending LVLMs Against Vision Attacks Through Partial-Perception Supervision
Qi Zhou, Dongxia Wang, Tianlin Li et al.
AugKD: Ingenious Augmentations Empower Knowledge Distillation for Image Super-Resolution
Yun Zhang, Wei Li, Simiao Li et al.
Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning
Ran Ma, Yixiong Zou, Yuhua Li et al.
Measuring Variable Importance in Heterogeneous Treatment Effects with Confidence
Joseph Paillard, Angel REYERO LOBO, Vitaliy Kolodyazhniy et al.
Equivariant Neural Tangent Kernels
Philipp Misof, Pan Kessel, Jan Gerken
Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection
Hengzhuang Li, Teng Zhang
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning
Yongyi Su, Yushu Li, Nanqing Liu et al.
NeuronTune: Towards Self-Guided Spurious Bias Mitigation
Guangtao Zheng, Wenqian Ye, Aidong Zhang
ToVE: Efficient Vision-Language Learning via Knowledge Transfer from Vision Experts
Yuanchen Wu, Junlong Du, Ke Yan et al.
SketchDNN: Joint Continuous-Discrete Diffusion for CAD Sketch Generation
Sathvik Chereddy, John Femiani
Let the Code LLM Edit Itself When You Edit the Code
Zhenyu He, Jun Zhang, Shengjie Luo et al.
From Promise to Practice: Realizing High-performance Decentralized Training
Zesen Wang, Jiaojiao Zhang, Xuyang Wu et al.
Towards Robust Influence Functions with Flat Validation Minima
Xichen Ye, Yifan Wu, Weizhong Zhang et al.
OmniArch: Building Foundation Model for Scientific Computing
Tianyu Chen, Haoyi Zhou, Ying Li et al.
Adaptive Dataset Quantization
Muquan Li, Dongyang Zhang, Qiang Dong et al.
Large Language Models can Become Strong Self-Detoxifiers
Ching-Yun Ko, Pin-Yu Chen, Payel Das et al.
DreamUHD: Frequency Enhanced Variational Autoencoder for Ultra-High-Definition Image Restoration
Yidi Liu, Dong Li, Jie Xiao et al.
Self-Disentanglement and Re-Composition for Cross-Domain Few-Shot Segmentation
Jintao Tong, Yixiong Zou, Guangyao Chen et al.
No Need to Talk: Asynchronous Mixture of Language Models
Anastasiia Filippova, Angelos Katharopoulos, David Grangier et al.
ASER: Activation Smoothing and Error Reconstruction for Large Language Model Quantization
Weibo Zhao, Yubin Shi, Xinyu Lyu et al.
SHIELD: Multi-task Multi-distribution Vehicle Routing Solver with Sparsity and Hierarchy
Yong Liang Goh, Zhiguang Cao, Yining Ma et al.
PipeOffload: Improving Scalability of Pipeline Parallelism with Memory Optimization
Xinyi Wan, Penghui Qi, Guangxing Huang et al.
On the Importance of Gaussianizing Representations
Daniel Eftekhari, Vardan Papyan
Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation
Songyuan Lei, Xinglong Chang, Zhizhi Yu et al.
A Generalizable Physics-Enhanced State Space Model for Long-Term Dynamics Forecasting in Complex Environments
Yuchen Wang, Hongjue Zhao, Haohong Lin et al.
MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Masked Image Modeling Representations
Benedikt Alkin, Lukas Miklautz, Sepp Hochreiter et al.
GMValuator: Similarity-based Data Valuation for Generative Models
Jiaxi Yang, Wenlong Deng, Benlin Liu et al.
Inverse Rendering using Multi-Bounce Path Tracing and Reservoir Sampling
Yuxin Dai, Qi Wang, Jingsen Zhu et al.
DUSTED: Dual-Attention Enhanced Spatial Transcriptomics Denoiser
Jun Zhu, Yifu Li, Zhenchao Tang et al.
Multi-Modal Latent Variables for Cross-Individual Primary Visual Cortex Modeling and Analysis
Yu Zhu, Bo Lei, Chunfeng Song et al.
SoundBrush: Sound as a Brush for Visual Scene Editing
Kim Sung-Bin, Kim Jun-Seong, Junseok Ko et al.
TeaserGen: Generating Teasers for Long Documentaries
Weihan Xu, Paul Pu Liang, Haven Kim et al.
Controlled LLM Decoding via Discrete Auto-regressive Biasing
Patrick Pynadath, Ruqi Zhang
AIMS.au: A Dataset for the Analysis of Modern Slavery Countermeasures in Corporate Statements
Adriana-Eufrosina Bora, Pierre-Luc St-Charles, Mirko Bronzi et al.
Practicable Black-Box Evasion Attacks on Link Prediction in Dynamic Graphs—a Graph Sequential Embedding Method
Jiate Li, Meng Pang, Binghui Wang
Interpretable Failure Detection with Human-Level Concepts
Kien X. Nguyen, Tang Li, Xi Peng
RepeatLeakage: Leak Prompts from Repeating as Large Language Model Is a Good Repeater
Yu Peng, Lijie Zhang, Peizhuo Lv et al.
LLM Agents Can Be Choice-Supportive Biased Evaluators: An Empirical Study
Nan Zhuang, Boyu Cao, Yi Yang et al.
Proactive and Reactive Constraint Programming for Stochastic Project Scheduling with Maximal Time-Lags
Kim van den Houten, Léon Planken, Esteban Freydell et al.
The Case for Cleaner Biosignals: High-fidelity Neural Compressor Enables Transfer from Cleaner iEEG to Noisier EEG
Francesco Carzaniga, Gary Hoppeler, Michael Hersche et al.
On Shallow Planning Under Partial Observability
Randy Lefebvre, Audrey Durand
Formally Verified Approximate Policy Iteration
Maximilian Schäffeler, Mohammad Abdulaziz
Counting and Reasoning with Plans
David Speck, Markus Hecher, Daniel Gnad et al.
Learning More Expressive General Policies for Classical Planning Domains
Simon Ståhlberg, Blai Bonet, Hector Geffner
3D-SPATIAL MULTIMODAL MEMORY
Xueyan Zou, Yuchen Song, Ri-Zhao Qiu et al.
Counterfactual Identification Under Monotonicity Constraints
Aurghya Maiti, Drago Plecko, Elias Bareinboim
Temporal Triadic Closure: Finding Dense Substructures in Social Networks That Evolve over Time
Tom Davot, Jessica Enright, Jayakrishnan Madathil et al.
CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion
Joshua Kazdan, Hao Sun, Jiaqi Han et al.
Towards Runtime Analysis of Population-Based Co-evolutionary Algorithms on Sparse Binary Zero-Sum Game
Per Kristian Lehre, Shishen Lin
MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation Functions
Yanjie Li, Weijun Li, Lina Yu et al.
Fast and Interpretable Mixed-Integer Linear Program Solving by Learning Model Reduction
Yixuan Li, Can Chen, Jiajun Li et al.
Efficiently Enhancing Long-term Series Forecasting via Ultra-long Lookback Windows
Suxin Tong, Jingling Yuan
From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes
Alexander Tyurin
SMoSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks
Mátyás Vincze, Laura Ferrarotti, Leonardo Lucio Custode et al.
Differentially Private Prototypes for Imbalanced Transfer Learning
Dariush Wahdany, Matthew Jagielski, Adam Dziedzic et al.
Tackling Intertwined Data and Device Heterogeneities in Federated Learning with Unlimited Staleness
Haoming Wang, Wei Gao